-Visualise the given dataset -Train and test a model for the automatic recognition of emotions (positive, neutral and negative in case of Dataset 1; anger, joy, pleasure, and sadness in case of Dataset 2 by using sklearn to apply the K-nearest neighbor to the given dataset. -test the performance of the Knn classifier
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